Interactions of an urban heat island and sea-breeze circulations during winter over the metropolitan area of São Paulo,Brazil

The Town Energy Budget (TEB) model, a detailed urban parameterisation using a generalised canyon geometry, coupled with the Regional Atmospheric Modelling System (RAMS) is used to simulate the wintertime local circulation in the megacity environment of the metropolitan area of Sao Paulo (MASP) in Brazil. Model simulations are performed using actual topography and land-use fields. Comparison with a simple urban parameterisation based on the LEAF-2 scheme is also shown. Validation is based on comparison between model simulations and observations. Sensitivity tests with TEB reveal an important interaction between the sea breeze and the MASP heat island circulation. Even though topography is known to play an important role in the MASP region’s weather, in these tests the simulations were performed without topography in order to unambiguously identify the interaction between the two local circulations. The urban heat island (UHI) forms a strong convergence zone in the centre of the city and thereby accelerates the sea-breeze front toward the centre of the city. The presence of the urban region increases the sea-breeze front propagation mean speed by about 0.32 m s⁻¹ when compared with the situation of no city. After its arrival in the urban region, the sea-breeze front stalls over the centre of the city for about 2 h. Subsequently, the sea breeze progresses beyond the city when the heat island dissipates. Thereafter, the sea breeze propagates beyond the urban area at a decelerated rate compared to a simulation without an UHI.     

Estimating the ecological footprint of the heat island effect over Athens, Greece

Heat island is a very well documented climatic phenomenon that has an important energy and environmental impact in the urban environment. The main energy problems are related to the important increase of the energy consumption for cooling purposes as well as to the important increase of the peak electricity load. Heat island in Athens, Greece, is measured during the last decade and its energy impact is calculated in details. The aim of the present paper is to estimate the direct and indirect environmental impact of the heat island effect in Athens. This is achieved through the estimation of the additional ecological footprint caused by the urban heat island phenomenon over the city. The ecological footprint estimation is performed at a first step by calculating the increase of the cooling demand caused by the heat island over the whole city and then by translating the energy to environmental cost. Two years annual experimental data from many urban stations have been used. The results show that the ecological footprint because of the heat island ranges 1.5–2 times the city’s political area that have to be reserved every year to compensate the additional CO₂ emissions caused by the presence of the heat island effect while the maximum potential ecological footprint, provided that all buildings are air conditioned, is almost 110,000 hectares.     

Effects of Explicit Urban-Canopy Representation on Local Circulations Above a Tropical Mega-City

The Advanced Regional Prediction System (ARPS) is coupled with the tropical town energy budget (tTEB) scheme to analyze the effects of the urban canopy circulation over the metropolitan area of São Paulo and its interactions with the sea breeze and mountain-valley circulation in the eastern state of São Paulo, Brazil. Two experiments are carried out for the typical sea-breeze event occurring on 22 August 2014 under weak synoptic forcing and clear-sky conditions: (a) a control run with the default semi-desert surface parametrization and; (b) a tTEB run for the urban canopy of São Paulo. A realistic land-use database over the south-eastern domain of Brazil is used in the downscaling simulation to a horizontal grid resolution of 3 km. Our results indicate that ARPS effectively simulates features of the nighttime and early morning land-breeze circulation, which is affected by the surrounding hills and the nocturnal heat island of São Paulo. By early afternoon, the south-eastern sea-breeze circulation moves inland perpendicular to the upslope of the Serra do Mar scarp, which generates a line of moisture convergence and updrafts further inland. Later, the convergence line reaches São Paulo and interacts with the circulation arising from the urban heat island (UHI), which increases the moisture convergence and strength of updrafts. The surface energy balance indicates that the UHI is caused by large sensible heat storage within the urban canopy during the day, which is later released in the afternoon and at night. The simulations are verified with available radiosonde and surface weather station data, land-surface-temperature estimates from the moderate resolution imaging spectroradiometer, as well as the National Center for Atmospheric Research reanalysis databases. The three-dimensional geometry of the urban canyons within the tTEB scheme consistently improves the thermodynamically-induced circulation over São Paulo.     

复杂地形条件下城市热岛及局地环流特征的数值模拟

应用基于多层城市冠层方案BEP(Building Environment Parameterization)增加室内空调系统影响的建筑物能量模式BEM(Building Energy Model)方案的WRF模式,模拟研究重庆热岛的特征、成因以及局地环流对热岛形成的影响。文中共有两个算例,一为重庆真实下垫面算例,称之为URBAN算例,二为将城市下垫面替换为耕地下垫面的对比算例,称之为NOURBAN算例。结果表明:1)WRF方案模拟结果与观测2 m气温的对比吻合较好,误差主要出现在正午温度峰值和凌晨温度谷值处,由城市下垫面特性及城市内建筑分布误差引起。2)BEP+BEM方案较好地模拟出了重庆地区的热岛分布的空间和时间特征。重庆市温度的分布受地形和城市下垫面的双重影响,越靠近城区,温度的分布受城市化影响就越大,在海拔低处,温度就越高。3)城区立体三维表面对辐射的陷阱作用导致城市表面总体反射率小,向上短波辐射小于郊区约20 W/m~2。城市表面以感热排放为主,而郊区则表现为潜热的作用占主导。夜间城市地表储热以及空调废热向大气释放,是城市热岛形成的重要原因。4)模拟区域背景风场主要为东南风,局地环流呈现出越靠近山区风速越大、城市区域风速较小的特性,体现了城市密集的建筑群对低层大气流场的空气动力学效应,以及复杂山谷地形的山谷风环流特性。在市区的西侧和东南侧均有高大山脉阻挡,山脉对城市出流的阻碍作用、气流越山与绕流运动对城市热岛的形成有一定影响。     

The impact of heat waves on surface urban heat island and local economy in Cluj-Napoca city,Romania

The association between heat waves and the urban heat island effect can increase the impact on environment and society inducing biophysical hazards. Heat stress and their associated public health problems are among the most frequent. This paper explores the heat waves impact on surface urban heat island and on the local economy loss during three heat periods in Cluj-Napoca city in the summer of 2015. The heat wave events were identified based on daily maximum temperature, and they were divided into three classes considering the intensity threshold: moderate heat waves (daily maximum temperature exceeding the 90th percentile), severe heat waves (daily maximum temperature over the 95th percentile), and extremely severe heat waves (daily maximum temperature exceeding the 98th percentile). The minimum length of an event was of minimum three consecutive days. The surface urban heat island was detected based on land surface temperature derived from Landsat 8 thermal infrared data, while the economic impact was estimated based on data on work force structure and work productivity in Cluj-Napoca derived from the data released by Eurostat, National Bank of Romania, and National Institute of Statistics. The results indicate that the intensity and spatial extension of surface urban heat island could be governed by the magnitude of the heat wave event, but due to the low number of satellite images available, we should consider this information only as preliminary results. Thermal infrared remote sensing has proven to be a very efficient method to study surface urban heat island, due to the fact that the synoptic conditions associated with heat wave events usually favor cloud free image. The resolution of the OLI_TIRS sensor provided good results for a mid-extension city, but the low revisiting time is still a drawback. The potential economic loss was calculated for the working days during heat waves and the estimated loss reached more than 2.5 mil. EUR for each heat wave day at city scale, cumulating more than 38 mil. EUR for the three cases considered.     

Determination of places in the great Athens area where the heat island effect is observed

Summary The major Athens area is surrounded by high mountains to the north and the east and is influenced by the sea (Saronic Gulf) to the south. As a result of its topography, the city experiences significant variations in its ventilation patterns even over small distances. The main purpose of the present study is to define places in the major Athens area where the heat island effect occurs. Several important climatic parameters are examined in combination with the application of various statistical tests. From this research it is mainly observed that the central and western industrialized parts of the city of Athens develop the “urban” heat island effect intensely. Nevertheless, district variations as regards the heat island intensity can be found in some regions, located close to the city centre and eastward of it, characterized by thick vegetation of trees or by “open areas”. Moreover, in places near the sea the air temperatures are higher in the cold period of the year, not because of the urbanization but mainly due to the influence of the sea, which favors the maintenance of high air temperatures. Last but not least, the persistence of high air temperatures during the hot period of the year or low air temperatures in the cold period is mostly related to the synoptic weather conditions and it cannot reasonably be considered as an index for the heat island effect development. Received June 1, 2000 Revised August 6, 2001     

Model evaluation of the atmospheric boundary layer and mixed-layer evolution

In the present study, an attempt is made to assess the atmospheric boundary-layer (ABL) depth over an urban area, as derived from different ABL schemes employed by the mesoscale model MM5. Furthermore, the relationship of the mixing height, as depicted by the measurements, to the calculated ABL depth or other features of the ABL structure, is also examined. In particular, the diurnal evolution of ABL depth is examined over the greater Athens area, employing four different ABL schemes plus a modified version, whereby urban features are considered. Measurements for two selected days, when convective conditions prevailed and a strong sea-breeze cell developed, were used for comparison. It was found that the calculated eddy viscosity profile seems to better indicate the mixing height in both cases, where either a deep convective boundary layer develops, or a more confined internal boundary layer is formed. For the urban scheme, the incorporation of both anthropogenic and storage heat release provides promising results for urban applications.     

下垫面对郑州城市边界层风的影响

根据１９９３年１月和７月郑州市中心测点和南郊郑州气象观测站同步观测的地面和边界层气象资料,分析了郑州城市下垫面对边界层风的影响。结果表明,在地面气压梯度比较小且天气晴朗条件下,郑州存在城市热岛环流。受城市热岛环流影响,郊区地面风向指向市区;边界层８００ｍ以下,城市上空吹偏西风时同一高度上南郊风向偏于城市风向左侧,吹偏东风时同一高度上南郊风向偏于市区风向右侧;１２００ｍ以上,城市上空吹偏西风时,同一高度上南郊风向偏于城市风向右侧     

遂宁市海绵城市建设对其热岛效应影响的评估

利用2011～2017年遂宁市主城区气温观测资料、MODIS卫星遥感资料,Landsat TM影像资料,结合遂宁市海绵城市建设,对遂宁市主城区城市热岛效应进行评估,得到以下结论:气象观测资料显示遂宁市主城区存在城市热岛效应,且从2011～2016年,其热岛效应总体呈下降趋势;遂宁主城区夏季热岛强度最强,春季次之。基于MODIS卫星资料分析得到:2011～2014年,遂宁主城区的城市热岛范围逐渐扩大;强热岛和极强热岛主要集中市中心,2016年到2017年,城市热岛出现了一定的缓解,强热岛和极强热岛被消除。2017年极端高温下的遂宁市主城区城市热岛效应比2006年的弱。海绵城市建设增加了遂宁市主城区绿地面积、水域面积、改变了城市路面、合理规划了城市建设,使遂宁市主城区热岛效应得到了一定的缓解。      

南京市夏季热岛特征及其与土地利用覆盖关系研究

利用南京市7月的Landsat TM热红外波段数据,根据单窗算法反演得到南京市地表温度,讨论了南京市热岛特征,并分析了产生这种现象的原因。通过遥感和地理信息系统相结合,运用Landsat TM数据,提取出南京市下垫面类型,分析了不同地表覆盖类型的热辐射特征并定量地分析了土地利用及植被对地表温度的影响。结果显示,南京市夏季主要存在3个热岛中心,分别是建成区、大厂区和八卦洲。南京城区地表温度明显比郊区地表温度高,通过地表温度对比分析发现,城区平均地表温度比城市边缘和远郊区地表温度分别高出3.5℃和5.7℃,城市热岛效应明显。不同地表覆盖类型的地表温度也有显著差异,从高到低依次为：城镇建设用地、耕地、草地、林地、水体。城镇建设用地与水体的表面温度最大相差14℃。城市地表温度与植被覆盖度具有明显的负相关关系,城市地表植被覆盖度低是城市热岛出现的主要原因,今后应当更加注重城市绿地建设,提高植被覆盖率。     

重庆市城市热岛研究的现状需求和建议

分析了重庆市为创建国家生态园林城市而产生对城市热岛评估和研究的需求、城市热岛研究现状以及面临的一些问题,设计了面向创建国家生态园林城市的城市热岛研究方案,总结了城市热岛的基本规律。提出了以下研究城市热岛的建议以满足创建国家生态园林城市的需求和调控城市热岛:根据国家生态园林城市的评价标准研究得出权威的、准确的城市热岛现状评价结果;通过高分辨率数值模式开展模拟实验研究,明确山脉、江河等特殊地理环境在创建国家生态园林城市中的利、弊作用;保护利用河谷风和山谷风,加强城区自然通风,以调控城市热岛。      

重庆市城市热岛效应变化特征及减缓措施

利用1961～2016年重庆市逐日气温资料,分析讨论了重庆市主城区56年城市热岛效应的变化趋势和年变化特征,并利用2009～2016年的逐时气温资料分析讨论了城市热岛效应的日变化特征。结果表明:56年来重庆市城市热岛效应总体呈上升趋势,各季节中盛夏上升最明显;重庆市城市热岛效应存在明显的年变化特征,盛夏的热岛效应最强,初春次之,仲春至初夏的热岛效应最弱;重庆市城市热岛效应具有较明显的日变化特征,各季节热岛效应均表现为白天弱,夜间强。重庆市城市热岛效应的形成及其变化,既受到地理位置、气象条件等自然因素的影响,更由城市下垫面变化(绿地和水体的面积及分布)、大气污染、人为热排放等城市化进程因素所决定。结合重庆城市特点综合运用多种措施可以减缓重庆城市热岛效应。      

Sensitivity of Offshore Surface Fluxes and Sea Breezes to the Spatial Distribution of Sea-Surface Temperature

A series of numerical sensitivity experiments is performed to quantify the impact of sea-surface temperature (SST) distribution on offshore surface fluxes and simulated sea-breeze dynamics. The SST simulations of two mid-latitude sea-breeze events over coastal New England are performed using a spatially-uniform SST, as well as spatially-varying SST datasets of 32- and 1-km horizontal resolutions. Offshore surface heat and buoyancy fluxes vary in response to the SST distribution. Local sea-breeze circulations are relatively insensitive, with minimal differences in vertical structure and propagation speed among the experiments. The largest thermal perturbations are confined to the lowest 10% of the sea-breeze column due to the relatively high stability of the mid-Atlantic marine atmospheric boundary layer (ABL) suppressing vertical mixing, resulting in the depth of the marine layer remaining unchanged. Minimal impacts on the column-averaged virtual potential temperature and sea-breeze depth translates to small changes in sea-breeze propagation speed. This indicates that the use of datasets with a fine-scale SST may not produce more accurate sea-breeze simulations in highly stable marine ABL regimes, though may prove more beneficial in less stable sub-tropical environments.     

Numerical study of the nocturnal urban boundary layer

A two-dimensional time-dependent Earth-atmosphere model is developed which can be applied to the study of a class of atmospheric boundary-layer flows which owe their origin to horizontal inhomogeneities with respect to surface roughness and temperature. Our main application of the model is to explore the governing physical mechanisms of nocturnal urban atmospheric boundarylayer flow.A case study is presented in which a stable temperature stratification is assumed to exist in the rural upwind area. It is shown through integration of the numerical model that as this air passes over a city, the heat is redistributed due to increased surface friction (and hence increased turbulent mixing). This redistribution of heat results in the formation of an urban heat island.Additional numerical integrations of the model are conducted to examine the dependence of induced perturbations on: (1) the upwind temperature inversion; (2) the geostrophic wind speed; and (3) urbanization. The results show a linear relationship between heat-island intensity and the rural temperature inversion with the heat island increasing in intensity as the upwind inversion becomes stronger; that the heat-island intensity close to the surface is inversely proportional to the geostrophic wind; and that the effects of anthropogenic heat cause an increase in the perturbation temperature with the perturbation extending to higher altitudes. From this study, we conclude that with an upwind temperature inversion, a city of any size should generate a heat island as a result of increased surface roughness. The heat-island intensity should increase with city size because of two factors: larger cities are usually aerodynamically rougher; and larger cities have a larger anthropogenic heat output.Research supported in part by NSF Grant GA-16822.     

北京地区热岛非均匀分布特征的卫星遥感-地面观测

针对北京城市热岛的空间变化特征及其发展趋势,重点探讨了北京城市热岛总体演变趋势及其多尺度非均匀分布特征与城市建筑群面积、中高层建筑群空间布局的相关关系。采用晴空过程北京城郊地面自动气象站AWS(Automatic weather station)气温观测真值对卫星遥感云顶黑体温度TBB(Temperature of black body on the top of cloud)高分辨率场实施变分订正,解决城市热岛研究中高分辨率卫星遥感的客观性订正问题。研究结果揭示了北京城市建筑群面积及中高层建筑群布局对城市热岛群总体演变趋势、多尺度热岛群非均匀分布特征的显著影响效应。结果表明,北京晴空过程城区及近郊区多尺度热岛效应可由强、弱程度不同的热岛群"合成",北京地区热岛分布呈多尺度非均匀特征,即城区东西两侧为强热岛区,城西北园林区与古城中轴线区域为相对弱热岛区;在北京城市高速发展背景下,城郊街区热岛群的非均匀分布特征与城市建筑群布局之间存在着相关关系;城市建筑群面积及中高层建筑密集程度的差异可产生区域性强弱不同的热岛效应,这间接反映出北京城郊中高层建筑群暖气或空调排放热源的局地影响效应。上述研究结果可为城市发展有关建筑群布局与园林绿地规划设计提供科学依据。     

南京地区城市下垫面特征对雷暴过程影响的数值模拟

本文选取2011年7月23日发生在南京的一次雷暴个例, 利用中尺度数值模式WRF(Weather Research and Forecasting model),耦合Noah/UCM,并采用NCEP FNL 1°×1°每日4次的全球分析场资料作为初始场及南京自动站观测数据等,对南京地区城市下垫面特征对雷暴过程的影响进行了数值模拟。结果表明:模拟的雷暴发生发展过程与该地区城市下垫面有着密切的联系。首先,雷暴发生前期,南京地区热岛效应明显。其次,城市上空的感热通量较高,结合城郊下垫面热力差异造成的城市热岛环流,加强了城区的辐合上升,为雷暴的形成提供了重要的抬升作用。城市下垫面扩张,使其上空边界层高度相应提升,垂直混合高度增加,有助于对流云的发展。此外,城市下垫面加强了大气低层的扰动位温,为雷暴提供了不稳定的层结条件。最后,城市地表较大的粗糙度使雷暴降水在城区低层的迎风面一侧明显增强。     

A Two-Dimensional Numerical Study of the Impact of a City on Atmospheric Circulation and Pollutant Dispersion in a Coastal Environment

The urban impact on the sea breeze is studied by means of a mesoscale model with a detailed urban parameterisation. Four simulations are carried out on an idealised two-dimensional flat domain. In the base case, half of the domain is characterised by seaand the other half by rural land. In the urban case, an urban area 10 km wide is added near the shoreline. Simulations are performed for a moist rural soil (weak sea breeze) and for a dry rural soil (strong sea breeze). Results are analysed in order to evaluate the impact of the city on the wind, temperature and turbulent kinetic energy fields. The dispersion of a passive tracer emitted near the coastline is, also, used in the comparison. Results show that the city accelerates the sea-breeze formation in the morning (combinations of urban circulation and sea breeze), but it slows thesea-breeze front penetration. Moreover, the presence of the city enhances the recirculation processes and strongly modifies the pollutant dispersion. These effects are enhanced for a moist rural soil.     

基于Landsat卫星数据的山东临沂市热岛效应研究

利用Landsat卫星数据分别反演了2005年和2014年临沂市的地表温度和不透水层指数，分析了城市化进程对临沂市热岛效应的影响。结果表明，2005年临沂市表现为中等强度的热岛效应，2014年表现为强热岛效应。利用地面站点资料统计分析来看，2005～2014年，临沂市热岛强度总体呈波动增加的趋势,冬季最强，春秋季次之，夏季较弱。分析城市化因子发现，城市经济、人口、用电消耗、城市房屋面积增量等多个因素对城市热岛强度变化的影响，其相关系数分别为0.86、0.82、0.67、0.81，其中房屋面积增量与热岛强度增强密切相关。从不透水层指数分布图的动态变化来看，也说明了城市化进程中城镇建筑和硬化的路面的增多导致了热岛强度的增强。     

成都地区夏季城市热岛变化及其与城市发展的关系

利用2000-2010年MODIS地表温度产品影像,结合DMSP/OLS夜间灯光数据,分析了成都地区夏季城市温度场及其城市热岛变化的分布特征及其演变规律。结果表明：随着城市化加快,成都地区夏季热环境发生了较大变化,整个区域以中温区向次高温区转换为主。成都地区热岛效应昼夜变化较大：白天热岛面积不断增大,与周围卫星城热岛连成一体,2000年和2010年城市热岛对区域的增温贡献分别为0.13℃和0.29℃,变化量达0.16℃,夜间并不存在大面积强热岛区。旧城区内城市热岛面积有所增加,但不显著,城市扩展区内热岛的规模显著增大,2010年较2000年新增强热岛区域面积166.43 km²,变化幅度达54%。高城市化水平的成都市地区的日较差相对于周边低城市化水平地区明显减少。同时,城市热岛还与人口的平方根具有很好的正相关关系,成都地区非农业人口规模每增长100万人,热岛效应强度增加0.4℃。